Telecom Neural Detection Lab

Research

TND Lab develops neural-network methods for detection and estimation in telecom and radar systems. We model high-dimensional wireless channels and received signals through their deterministic and probabilistic structure, combining probability and optimization theory with latent distribution learning, neural architecture design, and loss function design.

Team

Publications

2026

1. Physics-Informed Unsupervised Learning for Reliable Beamforming in Cluttered MIMO-ISACPreprint
   Yosefine Triwidyastuti, Nghia Thinh Nguyen, and Tri Nhu Do
   arXiv preprint arXiv:2610.15170, Oct. 2026
   DOI: 10.48550/arXiv.2610.15170
2. CSI-Aging-Aware Functional Split Optimization and KAN-LSTM Prediction for Open-RAN NTN
   Alexandar Tsvetanov Dimitrov, Yosefine Triwidyastuti, Eray Guven, Tri Nhu Do, and Gunes Karabulut Kurt
   IEEE Global Communications Conference (GLOBECOM), 2026
   DOI: 10.48550/arXiv.2610.15178
3. Fourth-Order Co-Channel Interference-Aware OFDM-ISAC Sensing in Cluttered EnvironmentsPreprint
   Tri Nhu Do, Yosefine Triwidyastuti, and Gunes Karabulut Kurt
   arXiv preprint arXiv:2609.14177, Sep. 2026
   DOI: 10.48550/arXiv.2609.14177
4. Inverse Maxwell-Based Wall-Aware OFDM-ISAC for Slow-Moving Target SensingPreprint
   Tri Nhu Do, Yosefine Triwidyastuti, and Gunes Karabulut Kurt
   arXiv preprint arXiv:2609.14182, Sep. 2026
   DOI: 10.48550/arXiv.2609.14182
5. Federated Learning-Empowered Jamming Detection for Stochastic Uplink and Downlink Integrated Terrestrial and Non-Terrestrial Networks
   Aida Meftah, Tri Nhu Do, Georges Kaddoum, and Chamseddine Talhi
   IEEE Transactions on Network and Service Management, Aug. 2026
   DOI: 10.1109/TNSM.2026.3727347
6. Probabilistic Denoising-Enhanced ISAC for Stochastic Cluttered Mobile EnvironmentsPreprint
   Nghia Thinh Nguyen and Tri Nhu Do
   arXiv preprint arXiv:2607.26994, Jul. 2026
   DOI: 10.48550/arXiv.2607.26994
7. Unsupervised Learning Optimization for Joint Precoding and Phase Design in Mobile RIS-MIMO
   Yosefine Triwidyastuti, Tri Nhu Do, Georges Kaddoum, Ridho Hendra Yoga Perdana, Kyusung Shim, and Beongku An
   IEEE Transactions on Vehicular Technology, Jul. 2026
   DOI: 10.1109/TVT.2026.3714733
8. RIS-Aided ISAC in Cluttered Environments
   Yosefine Triwidyastuti, Tri Nhu Do, Ngo Hoang Tu, and Georges Kaddoum
   IEEE International Conference on Logistics and Industrial Engineering (ICLIE), 2026
   DOI: 10.48550/arXiv.2607.16611
9. Communication-Centric RIS-Assisted ISAC: Signal Modeling and BER Analysis
   Yosefine Triwidyastuti and Tri Nhu Do
   IEEE International Conference on Advanced Technologies for Communications (ATC), 2026
   DOI: 10.48550/arXiv.2606.28924
10. Generative and Explainable AI for High-Dimensional MIMO-OFDM Channel Estimation in Time-Frequency-Space Domain
    Nghia Thinh Nguyen and Tri Nhu Do
    IEEE Transactions on Green Communications and Networking (TGCN), May 2026
    DOI: 10.1109/TGCN.2026.3693617
11. Deep Reinforcement Learning-Enabled Anti-Reactive Jamming Strategies for Mobile Cell-Free Interference Networks
    Tri Nhu Do, Georges Kaddoum, and François Leduc-Primeau
    IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), Canada, May 2026
    DOI: 10.1109/CCECE68150.2026.11610409
12. Probabilistic Denoising-Enhanced Parameter Estimation for Multi-Target Detection
    Nghia Thinh Nguyen and Tri Nhu Do
    IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), Canada, May 2026
    DOI: 10.1109/CCECE68150.2026.11610178

2025

1. AI-Open-RAN for Non-Terrestrial Networks
   Tri Nhu Do
   IEEE International Conference on Computing and Communication Technologies (RIVF), Vietnam, Dec. 2025
   DOI: 10.1109/RIVF68649.2025.11365028
2. Temporal Micro-Doppler Spectrogram-Based ViT Multiclass Target Classification
   Nghia Thinh Nguyen and Tri Nhu Do
   IEEE International Conference on Computing and Communication Technologies (RIVF), Vietnam, Dec. 2025
   DOI: 10.1109/RIVF68649.2025.11365113
3. Unsupervised Learning-based Joint Beamforming and Phase-Shift Optimization for RIS-Assisted DeepMIMO with Large-Scale Arrays
   Yosefine Triwidyastuti, Tri Nhu Do, Ridho Hendra Yoga Perdana, Kyusung Shim, and Beongku An
   IEEE Access, Aug. 2025
   DOI: 10.1109/ACCESS.2025.3603198
4. Domain Adaptation-Enabled Realistic Map-Based Channel Estimation for MIMO-OFDMInvited Paper
   Thien Hieu Hoang, Georges Kaddoum, and Tri Nhu Do
   IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Sep. 2025
   DOI: 10.1109/PIMRC62392.2025.11274848
5. Generative AI-empowered Resilient Adaptive ISAC Against Adversarial Machine Learning Attacks
   Hamda Bouzabia, Tri Nhu Do, and Georges Kaddoum
   IEEE Transactions on Vehicular Technology, Jun. 2025
   DOI: 10.1109/TVT.2025.3583924
6. Neural Network-based Information-Theoretic Transceivers for High-Order Modulation Schemes
   Ngoc Long Pham and Tri Nhu Do
   International Conference on Advanced Technologies for Communications (ATC), Oct. 2025
   DOI: 10.1109/ATC67618.2025.11268561
7. Feature Fusion and Knowledge-Distilled Multi-Modal Multi-Target Detection
   Ngoc Tuyen Do and Tri Nhu Do
   International Conference on Advanced Technologies for Communications (ATC), Oct. 2025
   DOI: 10.1109/ATC67618.2025.11268782
8. Generative and Explainable AI for High-Dimensional Channel Estimation
   Nghia Thinh Nguyen and Tri Nhu Do
   IEEE International Conference on Communications (ICC), Montreal, Canada, Jun. 2025
   DOI: 10.1109/ICC52391.2025.11161627
9. Ground-to-AAV and RIS-Assisted AAV-to-Ground Communication Under Channel Aging: Statistical Characterization and Outage Performance
   Thanh Luan Nguyen, Georges Kaddoum, Tri Nhu Do, and Zygmunt J. Haas
   IEEE Transactions on Communications, Feb. 2025
   DOI: 10.1109/TCOMM.2025.3543216
10. DRL-Based Maximization of the Sum Cross-Layer Achievable Rate for Networks Under Jamming
    Abdul Basit, Muddasir Rahim, Tri Nhu Do, Nadir Adam, and Georges Kaddoum
    IEEE Transactions on Network and Service Management, Jan. 2025
    DOI: 10.1109/TNSM.2025.3534028
11. Transfer Learning-Empowered Physical Layer Security in Aerial Reconfigurable Intelligent Surfaces-Based Mobile Networks
    Yosefine Triwidyastuti, Tri Nhu Do, Ridho Hendra Yoga Perdana, Kyusung Shim, and Beongku An
    IEEE Access, Jan. 2025
    DOI: 10.1109/ACCESS.2025.3526178

2024

1. Fast Beam Placement for Ultra-Dense LEO Networks
   Trinh Van Chien, Nguyen Minh Quan, Tri Nhu Do, Cuong Le, Tan N. Nguyen, and Symeon Chatzinotas
   IEEE Wireless Communications Letters, Dec. 2024
   DOI: 10.1109/LWC.2024.3516818
2. Online Energy-Efficient Beam Bandwidth Partitioning in mmWave Mobile Networks
   Zoubeir Mlika, Tri Nhu Do, Adel Larabi, Jennie Diem Vo, François Leduc-Primeau, and Jean-François Frigon
   IEEE 100th Vehicular Technology Conference (VTC2024-Fall), Oct. 2024
   DOI: 10.1109/VTC2024-FALL63153.2024.10757461
3. Federated Learning-Enabled Jamming Detection for Stochastic Terrestrial and Non-Terrestrial Networks
   Aida Meftah, Tri Nhu Do, Georges Kaddoum, and Chamseddine Talhi
   IEEE Transactions on Green Communications and Networking, Jul. 2024
   DOI: 10.1109/TGCN.2024.3425792
4. Deep Transfer Learning-based Performance Prediction of URLLC in independent and not necessarily identically distributed Interference Networks
   Mujtaba Ghous, Thanh Luan Nguyen, Tri Nhu Do, and Georges Kaddoum
   IEEE Access, Jul. 2024
   DOI: 10.1109/ACCESS.2024.3427118
5. Joint Power and User Allocation in Coexistence of eMBB and URLLC Services
   Muddasir Rahim, Thanh Luan Nguyen, Tri Nhu Do, and Georges Kaddoum
   IEEE Communications Letters, Jun. 2024
   DOI: 10.1109/LCOMM.2024.3411399
6. Capacity Analysis of Quantized Phase Shift in RIS-Assisted Network with Multipath Signal Transmission
   Yosefine Triwidyastuti, Tri Nhu Do, Ridho Hendra Yoga Perdana, Kyusung Shim, and Beongku An
   in Proc. Institute of Electronics and Information Engineers (IEIE) Conference, Jun. 2024, pp. 2874–2876
7. Joint Computation Offloading and Target Tracking in Integrated Sensing and Communication Enabled UAV Networks
   Trinh Van Chien, Mai Dinh Cong, Nguyen Cong Luong, Tri Nhu Do, Dong In Kim, and Symeon Chatzinotas
   IEEE Communications Letters, Apr. 2024
   DOI: 10.1109/LCOMM.2024.3385768
8. Joint Task Offloading and Radio Resource Management in Stochastic MEC Systems
   Thien Hieu Hoang, Chuyen T. Nguyen, Tri Nhu Do, and Georges Kaddoum
   IEEE Transactions on Communications, Jan. 2024
   DOI: 10.1109/TCOMM.2024.3354815
9. Multi-IRS-Aided Terahertz Networks: Channel Modeling and User Association With Imperfect CSI
   Muddasir Rahim, Thanh Luan Nguyen, Georges Kaddoum, and Tri Nhu Do
   IEEE Open Journal of the Communications Society, Jan. 2024
   DOI: 10.1109/OJCOMS.2024.3353173
10. Integrated Sensing and Communications Using Generative AI: Countering Adversarial Machine Learning Attacks
    Hamda Bouzabia, Georges Kaddoum, and Tri Nhu Do
    IEEE International Conference on Communications (ICC), Jun. 2024
    DOI: 10.1109/ICC51166.2024.10622879
11. Statistical Characterization of RIS-assisted UAV Communications in Terrestrial and Non-Terrestrial Networks Under Channel Aging
    Thanh Luan Nguyen, Georges Kaddoum, Tri Nhu Do, and Zygmunt J. Haas
    IEEE International Conference on Communications (ICC), Jun. 2024
    DOI: 10.1109/ICC51166.2024.10622758
12. DRL-Based Dynamic Channel Access and SCLAR Maximization for Networks Under Jamming
    Abdul Basit, Muddasir Rahim, Georges Kaddoum, Tri Nhu Do, and Nadir Adam
    IEEE Wireless Communications and Networking Conference (WCNC), Apr. 2024
    DOI: 10.1109/WCNC57260.2024.10571262
13. User Association Optimization for IRS-aided Terahertz Networks: A Matching Theory Approach
    Muddasir Rahim, Thanh Luan Nguyen, Georges Kaddoum, and Tri Nhu Do
    IEEE Wireless Communications and Networking Conference (WCNC), Apr. 2024
    DOI: 10.1109/WCNC57260.2024.10570866
14. Deep Learning-Based Interference Detection, Classification, and Forecasting Algorithm for ESM Radar Systems
    Hamda Bouzabia, Georges Kaddoum, and Tri Nhu Do
    IEEE Access, vol. 12, pp. 148120–148142, 2024
    DOI: 10.1109/ACCESS.2024.3475732

2023

1. Distributed Machine Learning for Terrestrial and Non-Terrestrial Internet of Things Networks
   Tri Nhu Do and Georges Kaddoum
   IEEE Internet of Things Magazine, Dec. 2023
   DOI: 10.1109/IOTM.001.2300063
2. Federated Learning-based Jamming Detection for Tactical Terrestrial and Non-Terrestrial Networks
   Aida Meftah, Georges Kaddoum, Tri Nhu Do, and Chamseddine Talhi
   IEEE Global Communications Conference (GLOBECOM), Dec. 2023
   DOI: 10.1109/GLOBECOM54140.2023.10437354
3. Joint Devices and IRSs Association for Terahertz Communications in Industrial IoT Networks
   Muddasir Rahim, Georges Kaddoum, and Tri Nhu Do
   IEEE Transactions on Green Communications and Networking, Nov. 2023
   DOI: 10.1109/TGCN.2023.3332571
4. Channel Characterization of UAV-RIS-aided Systems with Adaptive Phase-shift Configuration
   Thanh Luan Nguyen, Georges Kaddoum, Tri Nhu Do, and Zygmunt J. Haas
   IEEE Wireless Communications Letters, Aug. 2023
   DOI: 10.1109/LWC.2023.3306553
5. Federated Learning-Enabled Jamming Detection and Waveform Classification for Distributed Tactical Wireless Networks
   Aida Meftah, Tri Nhu Do, Georges Kaddoum, Chamseddine Talhi, and Satinder Singh
   IEEE Transactions on Network and Service Management, Apr. 2023
   DOI: 10.1109/TNSM.2023.3271578
6. Adaptive Decoding Mechanisms for UAV-enabled Double-Uplink Coordinated NOMA
   Thanh Luan Nguyen, Georges Kaddoum, Tri Nhu Do, Daniel Benevides da Costa, and Zygmunt J. Haas
   IEEE Transactions on Vehicular Technology, Mar. 2023
   DOI: 10.1109/TVT.2023.3255001

2022

1. Deep Learning-based Interference Detection and Classification for LPI/LPD Radar Systems
   Hamda Bouzabia, Georges Kaddoum, and Tri Nhu Do
   in Proc. 2022 IEEE Military Communications Conference (MILCOM), Nov. 2022, pp. 655–660
   DOI: 10.1109/MILCOM55135.2022.10017589
2. Federated Learning-Based Jamming Detection for Distributed Tactical Wireless Networks
   Aida Meftah, Georges Kaddoum, Tri Nhu Do, and Chamseddine Talhi
   in Proc. 2022 IEEE Military Communications Conference (MILCOM), Nov. 2022, pp. 629–634
   DOI: 10.1109/MILCOM55135.2022.10017755
3. Performance Analysis of Multi-user NOMA Wireless-Powered mMTC Networks: A Stochastic Geometry Approach
   Thanh Luan Nguyen, Tri Nhu Do, and Georges Kaddoum
   IEEE Transactions on Communications, Oct. 2022
   DOI: 10.1109/TCOMM.2022.3214244
4. Channel Characterization for RIS-aided Terahertz Communications: A Stochastic Approach
   Thanh Luan Nguyen, Tri Nhu Do, Georges Kaddoum, Daniel B. da Costa, and Zygmunt J. Haas
   IEEE Wireless Communications Letters, Jun. 2022
   DOI: 10.1109/LWC.2022.3185977
5. Deep Learning-enabled Deceptive Jammer Detection for Low Probability of Intercept Communications
   Hamda Bouzabia, Tri Nhu Do, and Georges Kaddoum
   IEEE Systems Journal, May 2022
   DOI: 10.1109/JSYST.2022.3180481

2021

1. Multi-RIS-aided Wireless Systems: Statistical Characterization and Performance AnalysisMATLAB code
   Tri Nhu Do, Georges Kaddoum, Thanh Luan Nguyen, Daniel B. da Costa, and Zygmunt J. Haas
   IEEE Transactions on Communications, Sep. 2021
   DOI: 10.1109/TCOMM.2021.3117599
2. Aerial Reconfigurable Intelligent Surface-Aided Wireless Communication SystemsMATLAB and Python code
   Tri Nhu Do, Georges Kaddoum, Thanh Luan Nguyen, Daniel B. da Costa, and Zygmunt J. Haas
   in Proc. 2021 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Sep. 2021
   DOI: 10.1109/PIMRC50174.2021.9569450
3. Enhancing PHY-Security of FD-Enabled NOMA Systems Using Jamming and User Selection: Performance Analysis and DNN EvaluationMATLAB and Python code
   Kyusung Shim, Tri Nhu Do, Toan Van Nguyen, Daniel B. da Costa, and Beongku An
   IEEE Internet of Things Journal, May 2021
   DOI: 10.1109/JIOT.2021.3080425

2020

1. On the Performance of Multihop Cognitive Wireless Powered D2D Communications in WSNs
   Toan Van Nguyen, Tri Nhu Do, Vo Nguyen Quoc Bao, Daniel B. da Costa, and Beongku An
   IEEE Transactions on Vehicular Technology, vol. 69, no. 3, pp. 2684–2699, Mar. 2020
   DOI: 10.1109/TVT.2020.2963841
2. On the Design of RD-MIMO: Spatial Multiplexing versus Opportunistic Transmission Schemes
   Tri Nhu Do and Zygmunt J. Haas
   IEEE Access, vol. 8, pp. 22733–22747, Jan. 2020
   DOI: 10.1109/ACCESS.2020.2970049

2019

1. Performance Analysis of Multihop Cognitive WPCNs with Imperfect CSI
   Toan Van Nguyen, Tri Nhu Do, Vo Nguyen Quoc Bao, Daniel B. da Costa, and Beongku An
   in Proc. 2019 IEEE Global Communications Conference (GLOBECOM), Dec. 2019, pp. 1–6
   DOI: 10.1109/GLOBECOM38437.2019.9014208
2. Spectral Efficiency Maximization for Multiuser MISO-NOMA Downlink Systems with SWIPT
   Toan Van Nguyen, Van-Dinh Nguyen, Tri Nhu Do, Daniel B. da Costa, and Beongku An
   in Proc. 2019 IEEE Global Communications Conference (GLOBECOM), Dec. 2019, pp. 1–6
   DOI: 10.1109/GLOBECOM38437.2019.9014339
3. Simultaneous Uplink and Downlink Transmissions for Wireless Powered Communication NetworksMATLAB code
   Tri Nhu Do, Van-Dinh Nguyen, Oh-Soon Shin, and Beongku An
   IEEE Communications Letters, vol. 23, no. 2, pp. 374–377, Feb. 2019
   DOI: 10.1109/LCOMM.2018.2885303

2018

1. Improving the Performance of Cell-Edge Users in NOMA Systems Using Cooperative RelayingMATLAB code
   Tri Nhu Do, Daniel B. da Costa, Trung Q. Duong, and Beongku An
   IEEE Transactions on Communications, vol. 66, no. 5, pp. 1883–1901, May 2018
   DOI: 10.1109/TCOMM.2018.2796611
2. Improving the performance of cell-edge users in MISO-NOMA systems using TAS and SWIPT-based cooperative transmissionsMATLAB code
   Tri Nhu Do, Daniel B. da Costa, Trung Q. Duong, and Beongku An
   IEEE Transactions on Green Communications and Networking, vol. 2, no. 1, pp. 49–62, Mar. 2018
   DOI: 10.1109/TGCN.2017.2777510
3. Improving Physical Layer Security of NOMA Networks by Using Opportunistic SchedulingBest Paper Award
   Kyusung Shim, Tri Nhu Do, and Beongku An
   in Proc. 2018 IEEE International Conference on Ubiquitous and Future Networks (ICUFN), Prague, Czech Republic, Jul. 2018, pp. 262–267
   DOI: 10.1109/ICUFN.2018.8436962
4. A Physical Layer Security-Based Transmit Antenna Selection Scheme for NOMA Systems
   Kyusung Shim, Hyukchun Oh, Tri Nhu Do, and Beongku An
   in Proc. 2018 IEEE International Conference on Ubiquitous and Future Networks (ICUFN), Prague, Czech Republic, Jul. 2018, pp. 597–602
   DOI: 10.1109/ICUFN.2018.8436960
5. A physical layer security-based routing protocol in mobile ad-hoc wireless networksOutstanding Paper Award
   Kyusung Shim, Tri Nhu Do, and Beongku An
   in Proc. 20th IEEE International Conference on Advanced Communications Technology (ICACT), Gangwon-do, South Korea, Feb. 2018, pp. 417–422
   DOI: 10.23919/icact.2018.8323778
6. Optimal sum-throughput analysis for downlink cooperative SWIPT NOMA systemsMATLAB code
   Tri Nhu Do and Beongku An
   in Proc. 2018 IEEE International Conference on Recent Advances in Signal Processing, Telecommunications & Computing (SigTelCom), Ho Chi Minh City, Vietnam, Jan. 2018, pp. 85–90
   DOI: 10.1109/SIGTELCOM.2018.8325811
7. Performance Analysis of Wireless Energy Harvesting Multihop Cluster-Based Networks Over Nakagami-m Fading Channels
   Toan Van Nguyen, Tri Nhu Do, Vo Nguyen Quoc Bao, and Beongku An
   IEEE Access, vol. 6, pp. 3068–3084, 2018
   DOI: 10.1109/ACCESS.2017.2787055

2017

1. Exploiting direct links in multiuser multirelay SWIPT cooperative networks with opportunistic schedulingMATLAB code
   Tri Nhu Do, Daniel B. da Costa, Trung Q. Duong, Vo Nguyen Quoc Bao, and Beongku An
   IEEE Transactions on Wireless Communications, vol. 16, no. 8, pp. 5410–5427, Aug. 2017
   DOI: 10.1109/TWC.2017.2710307
2. A BNBF user selection scheme for NOMA-based cooperative relaying systems with SWIPTMATLAB code
   Tri Nhu Do, Daniel B. da Costa, Trung Q. Duong, and Beongku An
   IEEE Communications Letters, vol. 21, no. 3, pp. 664–667, Mar. 2017
   DOI: 10.1109/LCOMM.2016.2631606
3. A full-duplex cooperative scheme with distributed switch-and-stay combining for NOMA networks
   Tri Nhu Do, Daniel B. da Costa, Trung Q. Duong, and Beongku An
   in Proc. 2017 IEEE Global Communications Conference (GLOBECOM), Singapore, Dec. 2017, pp. 1–6
   DOI: 10.1109/GLOCOM.2017.8254917
4. Transmit antenna selection schemes for MISO-NOMA cooperative downlink transmissions with hybrid SWIPT protocol
   Tri Nhu Do, Daniel B. da Costa, Trung Q. Duong, and Beongku An
   in Proc. 2017 IEEE International Conference on Communications (ICC), Paris, France, May 2017, pp. 1–6
   DOI: 10.1109/ICC.2017.7997005
5. Performance Analysis of Physical Layer Security of Opportunistic Scheduling in Multiuser Multirelay Cooperative Networks
   Kyusung Shim, Tri Nhu Do, and Beongku An
   Sensors, vol. 17, no. 2, pp. 377, Feb. 2017
   DOI: 10.3390/s17020377
6. Opportunistic scheduling for fixed-gain amplify-and-forward-based multiuser multirelay SWIPT cooperative networks
   Tri Nhu Do, Daniel B. da Costa, Trung Q. Duong, Vo Nguyen Quoc Bao, and Beongku An
   in Proc. 2017 IEEE International Conference on Recent Advances in Signal Processing, Telecommunications & Computing (SigTelCom), Da Nang, Jan. 2017, pp. 49–54
   DOI: 10.1109/SIGTELCOM.2017.7849794

2016

1. Full-duplex distributed switch-and-stay networks with wireless energy harvesting: design and outage analysis
   Quang Nhat Le, Tri Nhu Do, Vo Nguyen Quoc Bao, and Beongku An
   EURASIP Journal on Wireless Communications and Networking, vol. 2016, art. 285, Dec. 2016
   DOI: 10.1186/s13638-016-0784-0
2. Performance analysis of multirelay RF energy harvesting cooperative networks with hardware impairments
   Tri Nhu Do, Daniel B. da Costa, and Beongku An
   IET Communications, vol. 10, no. 18, pp. 2551–2558, Jun. 2016
   DOI: 10.1049/iet-com.2016.0392
3. Physical Layer Security under Hard Impairments in Cooperative Communication Environments
   Kyusung Shim, Tri Nhu Do, Sang-Yep Nam, and Beongku An
   in Proc. Institute of Electronics and Information Engineers (IEIE) Conference, Jun. 2016, pp. 1641–1643
4. An Analysis Modeling Architecture for Supporting Physical Layer Security of Wireless Networks under Hardware Impairments
   Kyusung Shim, Tri Nhu Do, and Beongku An
   International Journal of Security and Its Applications, vol. 10, no. 6, pp. 351–362, Jun. 2016
   DOI: 10.14257/ijsia.2016.10.6.33
5. The Impact of Hardware Impairments and Imperfect Channel State Information on Physical Layer Security
   Kyusung Shim, Tri Nhu Do, and Beongku An
   Journal of the Institute of Electronics and Information Engineers, vol. 53, no. 4, pp. 79–86, Apr. 2016
   DOI: 10.5573/ieie.2016.53.4.079
6. Outage Performance Analysis of Relay Selection Schemes in Wireless Energy Harvesting Cooperative Networks over Non-Identical Rayleigh Fading Channels
   Tri Nhu Do, Vo Nguyen Quoc Bao, and Beongku An
   Sensors, vol. 16, no. 3, pp. 295, Feb. 2016
   DOI: 10.3390/s16030295
7. Connectivity of hybrid overlay/underlay cognitive radio ad hoc networks
   Tri Nhu Do, Le The Dung, Beongku An, and Sang-Yep Nam
   in Proc. 2016 IEEE International Conference on Electronics, Information, and Communication (ICEIC), Da Nang, Vietnam, Jan. 2016, pp. 1–4
   DOI: 10.1109/ELINFOCOM.2016.7562945
8. Outage performance of physical layer security for multi-hop underlay cognitive radio networks with imperfect channel state information
   Kyusung Shim, Tri Nhu Do, Beongku An, and Sang-Yep Nam
   in Proc. 2016 IEEE International Conference on Electronics, Information, and Communication (ICEIC), Da Nang, Vietnam, Jan. 2016, pp. 1–4
   DOI: 10.1109/ELINFOCOM.2016.7562946

2015

1. Outage Analysis of Best Relay Selection Scheme for Wireless Energy Harvesting Relay Networks
   Tri Nhu Do and Beongku An
   in Proc. Institute of Electronics and Information Engineers (IEIE) Conference, Nov. 2015, pp. 669–670
2. A soft-hard combination-based cooperative spectrum sensing scheme for cognitive radio networks
   Tri Nhu Do and Beongku An
   Sensors, vol. 15, no. 2, pp. 4388–4407, Feb. 2015
   DOI: 10.3390/s150204388
3. A relay selection protocol for wireless energy harvesting relay networks
   Tri Nhu Do, Vo Nguyen Quoc Bao, and Beongku An
   in Proc. 2015 IEEE International Conference on Advanced Technologies for Communications, Vietnam, Oct. 2015, pp. 243–247
   DOI: 10.1109/ATC.2015.7388327
4. Secure transmission using decode-and-forward protocol for underlay cognitive radio networks
   Tri Nhu Do and Beongku An
   in Proc. 2015 IEEE International Conference on Ubiquitous and Future Networks (ICUFN), Sapporo, Japan, Jul. 2015, pp. 914–918
   DOI: 10.1109/ICUFN.2015.7182678
5. Hybrid Cooperative Spectrum Sensing Scheme for Cognitive Radio Networks
   Tri Nhu Do and Beongku An
   in Proc. 2015 International Conference on Information Networking (ICOIN), Jan. 2015, pp. 390–391
   DOI: 10.1109/ICOIN.2015.7057922

2014

1. A Location Information-based Data Fusion Scheme for Cooperative Spectrum Sensing in Cognitive Radio Networks
   Tri Nhu Do and Beongku An
   in Proc. Institute of Electronics and Information Engineers (IEIE) Conference, Nov. 2014, pp. 726–727
2. Cooperative spectrum sensing schemes with the interference constraint in cognitive radio networks
   Tri Nhu Do and Beongku An
   Sensors, vol. 14, no. 5, pp. 8037–8056, May 2014
   DOI: 10.3390/s140508037
3. Cooperative spectrum sensing schemes with the interference constraint in cognitive radio networks
   Tri Nhu Do and Beongku An
   in Proc. 2014 IEEE International Symposium on Computer, Consumer and Control (IS3C), Taichung, Taiwan, Jun. 2014, pp. 1010–1013
   DOI: 10.1109/IS3C.2014.264
4. A cooperative spectrum sensing scheme using the concept of underlay cognitive radio
   Tri Nhu Do, Beongku An, and Kyu-Tae Lee
   in Proc. 2014 International Conference on Electronics, Information and Communications (ICEIC), Jan. 2014, pp. 1–3
   DOI: 10.1109/ELINFOCOM.2014.6914441

2013

1. A discussion of cooperative spectrum sensing using Alamouti code in cognitive radio networks
   Tri Nhu Do and Beongku An
   in Proc. 2013 The Institute of Electronics Engineers of Korea (IEEK) Summer Conference, Jeju Island, South Korea, Jun. 2013, pp. 1437–1438

Book Chapter

1. Distributed Multi-IRS-assisted 6G Wireless Networks: Channel Characterization and Performance Analysis
   Tri Nhu Do, Georges Kaddoum, and Thanh Luan Nguyen
   in Intelligent Reconfigurable Surfaces (IRS) for Prospective 6G Wireless Networks, Wiley, 2022
   DOI: 10.1002/9781119875284.ch10